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sawyer-llama-2
profoz/sawyer-llama-2
sawyer-llama-2 is a machine learning model from profoz. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Feb 10, 2024
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At a glance
- Access
- Public
- Created
- Feb 6, 2024
- Updated
- Feb 10, 2024
- SHA
- 32003634
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
sawyer-llama-2
This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: nan
- eval_runtime: 1296.5217
- eval_samples_per_second: 8.944
- eval_steps_per_second: 8.944
- epoch: 1.0
- step: 11582
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
- Created
- Feb 6, 2024
- Updated
- Feb 10, 2024